Abstract
Tensors (also known as multidimensional arrays or N-way arrays) are used in a variety of applications ranging from chemometrics to network analysis. The Tensor Toolbox provides classes for manipulating dense, sparse, and structured tensors using MATLAB's object-oriented features. It also provides algorithms for tensor decomposition and factorization, algorithms for computing tensor eigenvalues, and methods for visualization of results.
- Developers:
-
Kolda, Tamara [1] ; Bader, Brett [1] ; Acar Ataman, Evrim NMN [1] ; Dunlavy, Daniel [1] ; Bassett, Robert [1] ; Battaglino, Casey [1] ; Plantenga, Todd [1] ; Chi, Eric [1] ; Hansen, Samantha [1]
- Sandia National Laboratories
- Release Date:
- 2017-03-07
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
MATLAB
XSLT
C
- Version:
- 3.0
- Licenses:
-
BSD 2-clause "Simplified" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC04-94AL85000
- Code ID:
- 45330
- Site Accession Number:
- SCR #926.1; 7422
- Research Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Country of Origin:
- United States
Citation Formats
Kolda, Tamara, Bader, Brett W., Acar Ataman, Evrim NMN, Dunlavy, Daniel, Bassett, Robert, Battaglino, Casey J., Plantenga, Todd, Chi, Eric, and Hansen, Samantha.
Tensor Toolbox for MATLAB v. 3.0.
Computer Software.
https://github.com/sandialabs/tensor_toolbox.
USDOE.
07 Mar. 2017.
Web.
doi:10.11578/dc.20201001.24.
Kolda, Tamara, Bader, Brett W., Acar Ataman, Evrim NMN, Dunlavy, Daniel, Bassett, Robert, Battaglino, Casey J., Plantenga, Todd, Chi, Eric, & Hansen, Samantha.
(2017, March 07).
Tensor Toolbox for MATLAB v. 3.0.
[Computer software].
https://github.com/sandialabs/tensor_toolbox.
https://doi.org/10.11578/dc.20201001.24.
Kolda, Tamara, Bader, Brett W., Acar Ataman, Evrim NMN, Dunlavy, Daniel, Bassett, Robert, Battaglino, Casey J., Plantenga, Todd, Chi, Eric, and Hansen, Samantha.
"Tensor Toolbox for MATLAB v. 3.0." Computer software.
March 07, 2017.
https://github.com/sandialabs/tensor_toolbox.
https://doi.org/10.11578/dc.20201001.24.
@misc{
doecode_45330,
title = {Tensor Toolbox for MATLAB v. 3.0},
author = {Kolda, Tamara and Bader, Brett W. and Acar Ataman, Evrim NMN and Dunlavy, Daniel and Bassett, Robert and Battaglino, Casey J. and Plantenga, Todd and Chi, Eric and Hansen, Samantha},
abstractNote = {Tensors (also known as multidimensional arrays or N-way arrays) are used in a variety of applications ranging from chemometrics to network analysis. The Tensor Toolbox provides classes for manipulating dense, sparse, and structured tensors using MATLAB's object-oriented features. It also provides algorithms for tensor decomposition and factorization, algorithms for computing tensor eigenvalues, and methods for visualization of results.},
doi = {10.11578/dc.20201001.24},
url = {https://doi.org/10.11578/dc.20201001.24},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20201001.24}},
year = {2017},
month = {mar}
}